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The purpose of the paper is to identify the main characteristics of vertical integration strategies and discuss the effects of those characteristics on companies' ability to compete. Using a sample of 316 parent companies, the study found that industry uncertainty affected companies' decisions regarding their levels of vertical integration, but not companies' decisions to change those levels. The study also suggests that a significant number of companies have disintegrated to become more competitive.

U.S. industry–university (I–U) relations around intellectual property (IP) have become increasingly contentious since the Bayh-Dole Act of 1980, while especially lucrative patents and licenses resulting from biomedical and pharmaceutical discoveries capture the headlines. Some assert that I–U relations around IP are in crisis, others suggest that no such problem exists, and still others bemoan the “increasing commercialization” of U.S. education. This chapter develops a multi-level model of I–U IP dynamics, drawing on pluralistic, multi-theory perspectives, field interviews, and secondary data. The model includes three levels: the institutional (economy) level, I–U (sector) level, and the organizational level. These levels jointly affect the immediate context of any deal. The chapter closes with a discussion of this model's implications for further research and some theoretical speculations.

Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

The health of an economy is heavily dependent on the productivity of the economy's major industries including construction. While most macro-measures of productivity in the USA construction industry indicate a decline, corresponding studies at the individual task level indicate an increase in productivity. Therefore, this paper aims to identify areas where productivity challenges exist and thus provide recommendations for improvement in the construction industry.

A model that relates the way construction projects are executed with the sources of data that inform productivity analyses is developed and presented. This effort/value-flow model informs the data analysis that is performed to determine productivity trends for management and field labor. Further analysis for field labor productivity using field data and management productivity was separately conducted. Management productivity was particularly difficult to gauge, resulting in the use of surrogate measures.

It was observed that while both field labor and management productivities at the industry level have been decreasing, the decrease in management productivity was five times that of field labor productivity. A similar trend was observed for management productivity at the project level.

The primary contribution of this paper to the body of knowledge and industry is the introduction of a holistic analysis of USA construction productivity. Recommendations to improve management productivity include the use of technology, especially project management software.

The purpose of this paper is to analyze the influence of firm-, industry- and country-level determinants on real annual sales growth in the context of a cross-classified multilevel perspective.

The authors studied 11,381 firms from 17 industries in six Latin American countries based on the data collected up to 2015. Since the data are nested in two levels (level 1: firms; level 2: cross-classification of industries and countries), the authors use a cross-classified multilevel model. The significant variability in all levels of analysis confirms the option for the multilevel model.

Differences in industries account for the largest proportion of variance (77.2 percent). This finding indicates that industry-level characteristics should be explored in the sales growth literature (it seems to the authors that they were neglected). This finding also calls attention to the roles of policy-makers in facilitating firm growth. The final model indicates that the considered variables explain approximately 55 percent of the differences in real annual sales growth in the same industry and country after having accounted for the impacts of the differences in firms. After accounting for the impacts of the differences in firms’ and countries’ characteristics, 43 percent of the variation in average real annual sales growth is due to differences in industries. The obtained results indicate that while firms from countries with higher GDP growth and more effective corporate boards present higher real annual sales growth, firms that operate in commodity producer industries have worse performance in this indicator. With respect to firm’s characteristics, larger firms (contradicting Gibrat’s law) and exporters grew less. Some results could be explained by the decrease in commodities’ prices and global purchases between 2012 and 2015.

The paper fills some gaps in the firm growth literature by testing Gibrat’s law in non-developed countries (not yet done, to the best of the authors’ knowledge) and exploring variables other than size in the explanation of firm growth (rarely used, to the best of the authors’ knowledge). Moreover, the adopted model correctly estimated the origin of the variability in firm growth in its natural cross-classified distinct levels.

The purpose of this paper is to present a comparative analysis of the contribution made by intellectual capital (IC) to company performance at company and industry levels in the Russian context. It examines the performance effect of IC using a multilevel approach.

The study combines the resource- and industry-based view. It decomposes performance determinants into two levels of analysis in such a way that it is assumed that IC at industry and company levels has a significant simultaneous impact on company performance. The empirical part of the study uses a database of 1,096 Russian public companies, covering the period of 2004–2014 and divided into 19 industries. The econometric methodology uses hierarchical linear models to estimate the effect of IC in the different levels of analysis.

The study confirms that the strength of the performance effect of IC is contingent on the industry. Furthermore, the study reveals that industry-level endowment with regard to intangibles contributes more to company performance in comparison with a company-level endowment, in the context of the transitional economy.

The study proposes a novel methodological approach to the performance effect of IC in the Russian context, studying the differences between industry and company effect. The study provides insights to better understand the importance of the politics of IC at the different levels (industry and company) and presents a new empirical enquiry into strategic behaviour regarding IC in Russia.

The need for the improved implementation of information technology (IT) has been identified in both empirical and highly structured research studies as being critical to effective innovation and development at an industry and enterprise level. This need is greater in the construction industry as it has been relatively slow to embrace the full potential of IT‐based technologies. In an attempt to understand why the construction industry lags other industries in the uptake and effective implementation of IT, this study reports on an investigation of the Australian construction industry, which identifies the impediments or barriers to IT implementation and the most effective coping strategies to overcome them. A questionnaire‐based research approach was adopted for this purpose and a total of 134 valid survey responses were received from various architectural, engineering and construction professionals. The questionnaire was designed to identify perceptions of the most significant barriers to IT implementation and to determine the most “practical” and “effective” corresponding coping strategies to mitigate their effects at three decision‐making levels: Industry; Organization; and Project.

This paper aims to evaluate policymakers’ concerns about the lack of competition in highly concentrated markets for public company audits by examining the association between audit fees and the inequality of Big 4 market shares at both the USA national-industry and city-industry levels.

Using publicly available data, this paper uses regression analysis to examine publicly available data to test research hypotheses related to the association between audit market inequalities and audit fees at both the USA national-industry and city-industry levels.

The findings support a U-shaped association between national-industry inequality and audit fees. As inequality initially increases, fees decrease; however, as inequality becomes increasingly large fees increase. The city-industry level analysis shows the opposite pattern. The results are consistent with capacity constraints at the national-industry level that are less binding at the city-industry level.

This study provides evidence that market inequality has a non-linear association with audit price and contributes to the limited findings in industrial organization research on the importance of market share inequality in highly concentrated markets.

This study provides new insights into the growing body of research on audit market structure by documenting that national-industry and city-industry analysis provides different insights into the market structure. In addition, the sample period for this study (2004-2017) addresses the General Accounting Office (GAO) concern about the lack of a stable audit market in the period it examined (GAO, 2008, p. 94) and finds evidence of market structure effects not present in the earlier GAO studies (GAO, 2003, 2008).

In this paper, we examine the comparative advantage of Korea and China while focusing on their technology level. The three digit SITC (Standard International Trade Classification) data is classified by technology level and the revealed comparative advantage (RCA) is derived from 1992-2009 by using UN COMTRADE data. For careful interpretation of the comparative advantage and technology levels, we also examined intra-industry trade and unit values of bilateral Korea-China trade, and semi-conductor industry technology. We found that the revealed comparative advantage has moved from low technology products to high technology products in Korea. China still maintains a comparative advantage in low technology products such as textiles and clothing, but at the same time, China’s high and medium-high technology products have recently gained a comparative advantage. The perception that China only has a comparative advantage for labor intensive products with low technology should be changed based on our analysis. However, China’s advancement in technology should not be overestimated. When comparing the unit value of basic materials of Korea’s and China’s exports, we found that Korea’s export product prices are on average higher than that of China’s, although the gap is reducing. A wider technology gap between Korea and China still exists in the semi-conductor industry, which is one of the most advanced high technology industries throughout the world.

Currently, the bulk of research on marketing innovation focuses on various firm-level dimensions using relationships from the technological (product and process) innovation literature. Research on industry-level differences in marketing innovation is lacking. Testing relationships form the technological paradigm in the context of the marketing innovation paradigm is also lacking. This paper aims to present empirical evidence on both aspects using a large-scale data set.

This study uses two large-scale datasets, each consisting of approximately 4,000 Canadian enterprises in 18 industries. The data was collected by Statistics Canada in 2009 and 2012 through its nationwide Survey of Innovation and Business Strategies program. Two widely used theoretical frameworks, resource-based view of the firm and the competitive perspective, are used to generate constructs and hypotheses in relation to marketing innovation. The data was analyzed using multi-level logistic regression.

The findings show that industry-level competition is a much more important driver of marketing innovation than firm-level competition. The authors also show that marketing constructs that are significant in the context of technological innovation are also significant for marketing innovation.

This study extends the firm-level literature by providing evidence of how industry-level dynamics enhances marketing innovation. The study also provides empirical evidence from Canadian enterprises that complement those from other countries.

A deeper understanding of the drivers of marketing innovation can enable managers to enact innovation strategies that can enhance organizational performance, differentiate themselves and enhance customer engagement and brand image.

As one of the few studies to examine industry-level differences in marketing innovation, the authors show that disaggregating competition into industry-level and firm-level provides a clearer picture of how competition advances marketing innovation. Additionally, this study is the first of its kind to provide empirical evidence on Canadian enterprises, thereby complementing evidence on marketing innovation from other countries. Thus, this study makes a theoretical and empirical contribution to the emerging marketing innovation literature.